Usage & Enterprise Capabilities
WunderGraph is the next-generation API composition framework for the modern web. Built for the era of multi-protocol microservices, it provides a high-performance, open-source gateway that allows you to unify multiple GraphQL, REST, and gRPC APIs into a single, cohesive interface. With WunderGraph, you get a powerful tool for building "Federated" or "Composed" APIs that are type-safe, elastically scalable, and easy to maintain.
The platform's greatest strength is its technical depth and its focus on developer productivity. It utilizes a Go-based execution engine for ultra-low latency and offers native client-side code generation to ensure that your frontend always stays in sync with your global API. With its intuitive monitoring and powerful traffic management capabilities, WunderGraph provides a single point of control for your entire data ecosystem, ensuring that your applications are always secure, high-performing, and easy to observe.
Self-hosting WunderGraph provides organizations with a world-class API management solution that eliminates the complexity of manual data orchestration while providing the ultimate in scaling and observability for cloud-native applications.
Key Benefits
Unified Data Access: One gateway for all your GraphQL, REST, and gRPC services.
Type-Safe Development: End-to-end type safety from the database to the frontend.
Ultra-High Performance: Built with Go for low latency and high throughput.
API Composition Mastery: Easily build complex, federated data layers.
Enterprise Observability: Built-in metrics and logging for real-time visibility.
Production Architecture Overview
A production WunderGraph setup typically consists of:
WunderGraph Gateway: The main Go application running as a docker container.
Upstream APIs: Your collection of GraphQL, REST, gRPC, and database services.
Configuration Server: (Optional) for managing dynamic updates and federation.
Metrics/Logging: Integration with Prometheus and OpenTelemetry for full-stack visibility.
Reverse Proxy: NGINX or Caddy to handle SSL/TLS and routing.
Implementation Blueprint
Implementation Blueprint
Prerequisites
sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose -y
sudo systemctl enable docker
sudo systemctl start dockerDocker Compose Production Setup
The most reliable way to self-host WunderGraph is using their official Docker orchestration.
version: '3'
services:
wundergraph:
image: wundergraph/wundergraph:latest
ports:
- "9991:9991"
environment:
- WG_NODE_URL=https://your.domain.com
- WG_PUBLIC_NODE_URL=https://your.domain.com
volumes:
- ./generated:/app/.wundergraph/generated
restart: always
prometheus: # Optional monitoring
image: prom/prometheus:latest
ports:
- "9090:9090"Kubernetes Production Deployment (Recommended)
WunderGraph can be containerized and deployed on Kubernetes for improved availability and scaling.
# Deploy using WunderGraph's official Kubernetes manifests or Helm
kubectl create deployment wundergraph --image=wundergraph/wundergraph:latest
kubectl expose deployment wundergraph --port=9991Benefits:
Horizontal Scaling: Scale your gateway pods automatically as your global API traffic increases.
Secure Persistence: Use Kubernetes Secrets to manage your upstream API credentials and provider tokens.
Zero-Downtime Reliability: Rolling updates for the gateway ensure that your unified API is always operational.
Scaling Strategy
Stateless Gateway: The WunderGraph gateway itself is stateless; scale it by running multiple instances behind a layer 4 load balancer.
Caching: Leverage WunderGraph's native edge caching to minimize latency for high-frequency API requests.
Health Checks: Configure the gateway and your upstream services with health checks to ensure traffic only hits healthy endpoints.
Rate Limiting: Implement WunderGraph middleware to protect your unified API from traffic spikes and DDoS attacks.
Backup & Safety
Config Snapshots: Regularly backup your
.wundergraphconfiguration to avoid losing your API composition logic.Secret Management: Never hardcode upstream API keys; use a secure vault or Kubernetes Secrets.
HTTPS Everywhere: Always run WunderGraph behind a secure reverse proxy or use its native TLS support to force secure connections.
Monitoring: Regularly audit OpenTelemetry traces to identify and resolve performance bottlenecks in your federated data layer.